About us
At Dagster Labs, we’re an early-stage, well-funded startup team with a proven track record of shipping open-source software with global adoption. Our mission is to empower organizations to create scalable, productive data platforms. We put a premium on respectful, clear, and complete communication, and we expect each other to be creative, curious, effective, and empathetic.
We believe deeply that the right tools and abstractions enable not just technological transformation, but also organizational transformation. We strive to put the user and their hard work at the center of our decision making. In practice, that means we are looking for engineers who want to write clean APIs and helpful error messages, and who always try to understand user needs when designing a new system.
All of our open-source work is done publicly. You can gain context about how we collaborate as a team and the problems we work on by exploring GitHub and looking at our code reviews.
About the role
Dagster is an orchestration platform for the development, production, and observation of data assets. Our goal is to make Dagster Cloud the de facto hosted solution for structuring these systems. In this role, you will drive improvements to Dagster’s core architecture and infrastructure to keep it highly-performant at scale. You will design and implement new systems to support our clients and solve difficult technical problems throughout the software stack with the rest of the team.
This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We’re open to hiring fully remote candidates who are currently authorized to work within the United States. We offer flexible remote work options so you can choose the environment that makes you most productive—whether that’s your home or a coworking space. Dagster Labs fosters a collaborative, remote-first culture, ensuring you have all the tools and support needed to thrive, no matter where you are.
Responsibilities
- Develop and optimize core backend systems and infrastructure components.
- Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement.
- Partner with cross-functional teams to align on product development needs and deliver impactful solutions.
- Review designs and code to maintain high standards of quality and performance across the team.
Must-have Qualifications
- 4+ years of proven experience in large scale software development and infra
- 1+ year of experience managing complex engineering projects from design through completion
- Strong written and oral communication skills
- Experience building and shipping high quality work
Nice-to-have Qualifications
- Experience with a wide range of modern infrastructure tools and technologies
- Experience building and scaling services built on Amazon Web Services, Kubernetes & Postgres
You belong here
We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.
You should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.
Our Stack
Dagster is built in Python and TypeScript to work on macOS, Posix, and Windows. We use GraphQL, Apollo, and React to develop beautiful frontend tooling. We integrate with a wide range of databases, data warehouses, orchestration engines, compute substrates, and cloud services.
The estimated cash salary for this role is $160,000 to $200,000.
Other resources
- The launch of Dagster blog post
- Launching Dagster Cloud to GA blog post
- Dagster Day 2022 video playlist
- Our latest major release
- Software-Defined Assets blog post, Data Council talk, and animated explainer
- Our latest episode on the Data Engineering Podcast
- Our philosophy on code reviews
No recruiters please.
